Detecting Multivariate Gene Interactions in RNA-Seq Data Using Optimal Bayesian Classification
نویسندگان
چکیده
منابع مشابه
RNA-Seq Bayesian Network Exploration of Immune System in Bovine
Background: The stress is one of main factors effects on production system. Several factors (both genetic and environmental elements) regulate immune response to stress. Objectives: In order to determine the major immune system regulatory genes underlying stress responses, a learning Bayesian network approach for those regulatory genes was applied to RNA-...
متن کاملDetecting Concept Drift in Data Stream Using Semi-Supervised Classification
Data stream is a sequence of data generated from various information sources at a high speed and high volume. Classifying data streams faces the three challenges of unlimited length, online processing, and concept drift. In related research, to meet the challenge of unlimited stream length, commonly the stream is divided into fixed size windows or gradual forgetting is used. Concept drift refer...
متن کاملdSpliceType: A Multivariate Model for Detecting Various Types of Differential Splicing Events Using RNA-Seq
Alternative splicing plays a key role in regulating gene expression. Dysregulated alternative splicing events have been linked to a number of human diseases. Recently, the high-throughput RNA-Seq technology provides unprecedented opportunities and holds a strong promise for better characterizing and dissecting alternative splicing events on a whole transcriptome scale. Therefore, efficient and ...
متن کاملOn Differential Gene Expression Using RNA-Seq Data
MOTIVATION RNA-Seq is a novel technology that provides read counts of RNA fragments in each gene, including the mapped positions of each read within each gene. Besides many other applications it can be used to detect differentially expressed genes. Most published methods collapse the position-level read data into a single gene-specific expression measurement. Statistical inference proceeds by m...
متن کاملDetecting differential usage of exons from RNA-seq data.
RNA-seq is a powerful tool for the study of alternative splicing and other forms of alternative isoform expression. Understanding the regulation of these processes requires sensitive and specific detection of differential isoform abundance in comparisons between conditions, cell types, or tissues. We present DEXSeq, a statistical method to test for differential exon usage in RNA-seq data. DEXSe...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE/ACM Transactions on Computational Biology and Bioinformatics
سال: 2018
ISSN: 1545-5963
DOI: 10.1109/tcbb.2015.2485223